HardworkingLittlequ
HardworkingLittlequ
您好！ 我们已经在github公开了论文中使用的测试代码(256*256 resize后的)。对于任意尺寸图像对的测试，您可以尝试自己编写滑窗融合代码。我们非常抱歉，由于上海疫情的原因，我们刚刚有机会返校，没有及时对github进行更新。但是所有关于论文内使用的训练和测试代码，我们已经全部公开且保证能够正常运行。如果有时间，我们会帮助复现滑窗融合代码。
您好，测试流程在文章中有详细描述。为了方便训练和测试，我们将所有图像resize到256*256进行融合测试，相关代码已在github上公开。
> Thanks for sharing the code. The training can be implemented normally, but there is a problem during the test. I ran the test code and reported an error. The...
Hello! Thanks for your attention! I noticed that Xingchen Zhang has compiled one of the most comprehensive database of evaluation metrics for multi-exposure image fusion, and you can refer to...
Thanks for your attention and your contribution!
Thank you! We are looking forward to it very much! Best wishes!